Binghui Chen

According to our database, Binghui Chen authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Confusion-Based Metric Learning for Regularizing Zero-Shot Image Retrieval and Clustering.

Binghui Chen, Weihong Deng, Biao Wang, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting.

Mingyue Guo, Binghui Chen, Zhaoyi Yan, Yaowei Wang, Qixiang Ye

CoRR, 2024

2023

VirFace^∞: A Semi-Supervised Method for Enhancing Face Recognition via Unlabeled Shallow Data.

Wenyu Li, Pengyu Li, Tianchu Guo, Binghui Chen, Biao Wang, Wangmeng Zuo, Lei Zhang

IEEE Trans. Inf. Forensics Secur., 2023

Regressor-Segmenter Mutual Prompt Learning for Crowd Counting.

Mingyue Guo, Li Yuan, Zhaoyi Yan, Binghui Chen, Yaowei Wang, Qixiang Ye

CoRR, 2023

DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving.

Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Wangmeng Xiang, Binghui Chen, Bin Luo, Yifeng Geng, Xuansong Xie

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection.

Xiaolin Song, Binghui Chen, Pengyu Li, Jun-Yan He, Biao Wang, Yifeng Geng, Xuansong Xie, Honggang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing.

Kaicheng Li, Hongyu Yang, Binghui Chen, Pengyu Li, Biao Wang, Di Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

PRNet++: Learning towards generalized occluded pedestrian detection via progressive refinement network.

Xiaolin Song, Binghui Chen, Pengyu Li, Biao Wang, Honggang Zhang

Neurocomputing, 2022

Dense Learning based Semi-Supervised Object Detection.

Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xian-Sheng Hua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting.

Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

VirFace: Enhancing Face Recognition via Unlabeled Shallow Data.

Wenyu Li, Tianchu Guo, Pengyu Li, Binghui Chen, Biao Wang, Wangmeng Zuo, Lei Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Metric Learning with Graph Consistency.

Binghui Chen, Pengyu Li, Zhaoyi Yan, Biao Wang, Lei Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MedSRGAN: medical images super-resolution using generative adversarial networks.

Yuchong Gu, Zitao Zeng, Haibin Chen, Jun Wei, Yaqin Zhang, Binghui Chen, Yingqin Li, Yujuan Qin, Qing Xie, Zhuoren Jiang, Yao Lu

Multim. Tools Appl., 2020

2019

Deep embedding learning with adaptive large margin N-pair loss for image retrieval and clustering.

Binghui Chen, Weihong Deng

Pattern Recognit., 2019

Mixed High-Order Attention Network for Person Re-Identification.

Binghui Chen, Weihong Deng, Jiani Hu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning.

Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval.

Binghui Chen, Weihong Deng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering.

Binghui Chen, Weihong Deng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision.

Wanxin Tian, Zixuan Wang, Haifeng Shen, Weihong Deng, Binghui Chen, Xiubao Zhang

CoRR, 2018

ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating.

Binghui Chen, Weihong Deng

CoRR, 2018

Virtual Class Enhanced Discriminative Embedding Learning.

Binghui Chen, Weihong Deng, Haifeng Shen

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Deep Correlation Feature Learning for Face Verification in the Wild.

Weihong Deng, Binghui Chen, Yuke Fang, Jiani Hu

IEEE Signal Process. Lett., 2017

Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership.

Weihong Deng, Jiani Hu, Nanhai Zhang, Binghui Chen, Jun Guo

Pattern Recognit., 2017

Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation.

Binghui Chen, Weihong Deng, Junping Du

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Weakly-supervised deep self-learning for face recognition.

Binghui Chen, Weihong Deng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016